珠江三角洲城市群工业生产空间格局、形态特征及影响因素

doi:10.18306/dlkxjz.2016.05.008

Abstract

Abstract:

GIS spatial analysis technology provides new path and research perspectives for accurately classifying spatial morphology. Extracting the industrial production space information of the Pearl River Delta region in 2013 through high resolution Google Earth image and summarizing the overall distribution pattern of the industrial production space, this study quantitatively analyzed the morphological characteristics of the industrial production space by introducing the fractal model, compact ratio, discrete degree, and density index, then analyzed the main influencing factors of industrial production space distribution by GIS spatial analysis and statistical analysis tools. The results show that: (1) The total area of industrial production space in the Pearl River Delta region in 2013 was 2604.71 km2. Its spatial distribution presents a typical core-peripheral structure. The industrial production spaces mainly distributed in the flat plain area and formed three spatial distribution models, that is, interlaced, scattered, and concentrated. (2) The industrial production space in the Pearl River Delta urban agglomeration showed clear fractal characteristics, and the fractal dimensions in the core area were smaller than that in the periphery area, but the stability of spatial structure in the core area was higher than that in the periphery area. Among the cities of the Pearl River Delta region, Zhuhai had the highest compact ratio of industrial production space, but Guangzhou had the lowest value; Huizhou had the highest discrete degree of industrial production space, whereas Zhongshan had the lowest value. The scale of each city’s industrial production space significant differed, and was positively correlated with economic scale, population, and the number of enterprises. The density index values of Dongguang, Shenzhen, Zhongshan, and Foshan were too high and these cities should promote efficient and intensive use of industrial production spaces. (3) On the basis of a comprehensive analysis, the article concludes that natural environment and traffic conditions, urbanization and economic development zone, policy guidance and regulation, and economic globalization were the main influencing factors of the distribution of industrial production space in the Pearl River Delta urban agglomeration.

Key words: industrial production space, spatial morphology, spatial pattern, morphological characteristics, Pearl River Delta urban agglomeration

Jun DING, Kaiyong WANG. Spatial pattern and morphological characteristics of industrial production space and influential factors in the Pearl River Delta urban agglomeration[J].PROGRESS IN GEOGRAPHY, 2016, 35(5): 610-621.

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城市	斑块数/个	周长(P)—面积(A)关系模型	相关系数r	分形维数D	稳定性指数SK
广州	1859	lnA=1.8727lnP-2.3413	0.9098	1.0680	0.4320
佛山	1569	lnA=1.9339lnP-2.7536	0.9377	1.0342	0.4658
肇庆	250	lnA=1.7527lnP-1.2625	0.9831	1.1411	0.3589
深圳	970	lnA=1.8932lnP-2.4360	0.8836	1.0564	0.4436
东莞	1635	lnA=1.9822lnP-3.1968	0.8991	1.0090	0.4910
惠州	1043	lnA=1.8038lnP-1.7002	0.9148	1.1088	0.3912
珠海	214	lnA=1.9010lnP-2.5133	0.9178	1.0521	0.4479
中山	761	lnA=1.8571lnP-2.2528	0.9017	1.0769	0.4231
江门	1025	lnA=1.7646lnP-1.4556	0.9624	1.1334	0.3666

城市	紧凑度 C	加权重心距离/km	加权平均距离/km	空间离散度DCI
广州	0.0200	24.41	35.64	1.1483
佛山	0.0219	20.08	27.89	-0.2143
肇庆	0.0621	20.62	29.30	-0.0011
深圳	0.0272	18.54	26.14	-0.5998
东莞	0.0204	20.64	27.90	-0.1336
惠州	0.0277	27.47	38.21	1.8292
珠海	0.0697	17.10	23.88	-1.0222
中山	0.0312	15.02	21.16	-1.5800
江门	0.0278	22.41	32.61	0.5735

指标	工业总产值	经济规模	人口规模	工业增加值	工业企业数
相关系数	0.722^*	0.634	0.763^*	0.681^*	0.863^**
Sig.	0.028	0.067	0.017	0.044	0.003

Spatial pattern and morphological characteristics of industrial production space and influential factors in the Pearl River Delta urban agglomeration

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